Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion

dc.contributor.author Kaizhou Gao
dc.contributor.author Ponnuthurai Nagaratnam Suganthan
dc.contributor.author Quanke Pan
dc.contributor.author M. Fatih Tasgetiren
dc.contributor.author Ali Sadollah
dc.contributor.author Suganthan, Ponnuthurai Nagaratnam
dc.contributor.author Tasgetiren, Mehmet Fatih
dc.contributor.author Sadollah, Ali
dc.contributor.author Gao, Kai Zhou
dc.contributor.author Pan, Quan Ke
dc.date.accessioned 2025-10-06T17:52:08Z
dc.date.issued 2016
dc.description.abstract This study addresses flexible job shop scheduling problem (FJSP) with two constraints namely fuzzy processing time and new job insertion. The uncertainty of processing time and new job insertion are two scheduling related characteristics in remanufacturing. Fuzzy processing time is used to describe the uncertainty in processing time. Rescheduling operator is executed when new job(s) is (are) inserted into the schedule currently being executed. A two-stage artificial bee colony (TABC) algorithm with several improvements is proposed to solve FJSP with fuzzy processing time and new job insertion constraints. Also several new solution generation methods and improvement strategies are proposed and compared with each other. The objective is to minimize maximum fuzzy completion time. Eight instances from remanufacturing are solved using the proposed TABC algorithm. The proposed improvement strategies are compared and discussed in detail. Two proposed ABC algorithms with the best performances are compared against seven existing algorithms over by five benchmark cases. The optimization results and comparisons show the competitiveness of the proposed TABC algorithm for solving FJSP. © 2017 Elsevier B.V. All rights reserved.
dc.description.sponsorship This study is supported by National Natural Science Foundation of China (Grant No. 51575212, 61503170), Program for New Century Excellent Talents in University (Grant No. NCET-13-0106), Science Foundation of Hubei Province in China (Grant No. 2015CFB560), Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20130042110035), Science Foundation of Hubei Province in China (2015CFB560), Key Laboratory Basic Research Foundation of Education Department of Liaoning Province (LZ2014014). Open Research Fund Program of the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, China.
dc.description.sponsorship This study is supported by National Natural Science Foundation of China (Grant No. 51575212 , 61503170 ), Program for New Century Excellent Talents in University (Grant No. NCET-13- 0106 ), Science Foundation of Hubei Province in China (Grant No. 2015CFB560 ), Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20130042110035 ), Science Foundation of Hubei Province in China ( 2015CFB560 ), Key Laboratory Basic Research Foundation of Education Department of Liaoning Province ( LZ2014014 ). Open Research Fund Program of the State Key Laboratory of Digital Manufacturing Equipment and Technology , Huazhong University of Science and Technology, China.
dc.description.sponsorship Key Laboratory Basic Research Foundation of Education Department of Liaoning Province, (LZ2014014); Science Foundation of Hubei Province in China, (2015CFB560); National Natural Science Foundation of China, NSFC, (51575212, 61503170); Huazhong University of Science and Technology, HUST; Program for New Century Excellent Talents in University, NCET, (NCET-13- 0106); State Key Lab of Digital Manufacturing Equipment and Technology; Specialized Research Fund for the Doctoral Program of Higher Education of China, SRFDP, (20130042110035)
dc.description.sponsorship National Natural Science Foundation of China [51575212, 61503170]; Program for New Century Excellent Talents in University [NCET-13-0106]; Science Foundation of Hubei Province in China [2015CFB560]; Specialized Research Fund for the Doctoral Program of Higher Education [20130042110035]; Key Laboratory Basic Research Foundation of Education Department of Liaoning Province [LZ2014014]
dc.identifier.doi 10.1016/j.knosys.2016.06.014
dc.identifier.issn 09507051
dc.identifier.issn 0950-7051
dc.identifier.issn 1872-7409
dc.identifier.scopus 2-s2.0-84991574929
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991574929&doi=10.1016%2Fj.knosys.2016.06.014&partnerID=40&md5=c4a3100e06b3f1cab9b9ce6a47a1f6ac
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9766
dc.identifier.uri https://doi.org/10.1016/j.knosys.2016.06.014
dc.language.iso English
dc.publisher Elsevier B.V.
dc.relation.ispartof Knowledge-Based Systems
dc.rights info:eu-repo/semantics/closedAccess
dc.source Knowledge-Based Systems
dc.subject Artificial Bee Colony, Flexible Job Shop Scheduling, Fuzzy Processing Time, New Job Insertion, Remanufacturing., Evolutionary Algorithms, Optimization, Scheduling, Scheduling Algorithms, Artificial Bee Colonies, Flexible Job-shop Scheduling, Fuzzy Processing Time, New Job Insertion, Remanufacturing, Job Shop Scheduling
dc.subject Evolutionary algorithms, Optimization, Scheduling, Scheduling algorithms, Artificial bee colonies, Flexible job-shop scheduling, Fuzzy processing time, New job insertion, Remanufacturing, Job shop scheduling
dc.subject Remanufacturing.
dc.subject Artificial Bee Colony
dc.subject Fuzzy Processing Time
dc.subject Flexible Job Shop Scheduling
dc.subject New Job Insertion
dc.subject Remanufacturing
dc.title Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
dc.type Article
dspace.entity.type Publication
gdc.author.id gao, kaizhou/0000-0002-9252-6928
gdc.author.id Tasgetiren, M Fatih/0000-0001-8625-3671
gdc.author.id Suganthan, Ponnuthurai Nagaratnam/0000-0003-0901-5105
gdc.author.id Tasgetiren, Mehmet Fatih/0000-0002-5716-575X
gdc.author.id Pan, QUAN-KE/0000-0002-5022-7946
gdc.author.id Sadollah, Ali/0000-0002-7782-4126
gdc.author.scopusid 6505799356
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gdc.author.scopusid 37124859400
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gdc.author.wosid Sadollah, Ali/H-1199-2011
gdc.author.wosid Suganthan, Ponnuthurai Nagaratnam/A-5023-2011
gdc.author.wosid gao, kaizhou/A-3577-2016
gdc.author.wosid Pan, QUAN-KE/F-2019-2013
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gdc.description.departmenttemp [Gao, Kai Zhou] Liaocheng Univ, Sch Comp, Liaocheng 252059, Peoples R China; [Gao, Kai Zhou; Suganthan, Ponnuthurai Nagaratnam; Sadollah, Ali] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore; [Pan, Quan Ke] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China; [Tasgetiren, Mehmet Fatih] Yasar Univ, Dept Ind Engn, Izmir, Turkey
gdc.description.endpage 16
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 1
gdc.description.volume 109
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gdc.virtual.author Taşgetiren, Mehmet Fatih
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person.identifier.scopus-author-id Gao- Kaizhou (36443489100), Suganthan- Ponnuthurai Nagaratnam (7003996538), Pan- Quanke (15074237600), Tasgetiren- M. Fatih (6505799356), Sadollah- Ali (37124859400)
project.funder.name This study is supported by National Natural Science Foundation of China (Grant No. 51575212 61503170 ) Program for New Century Excellent Talents in University (Grant No. NCET-13- 0106 ) Science Foundation of Hubei Province in China (Grant No. 2015CFB560 ) Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20130042110035 ) Science Foundation of Hubei Province in China ( 2015CFB560 ) Key Laboratory Basic Research Foundation of Education Department of Liaoning Province ( LZ2014014 ). Open Research Fund Program of the State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology China.
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